# ga_agent

**Repository Path**: HTKing/ga_agent

## Basic Information

- **Project Name**: ga_agent
- **Description**: 矢量大数据分析平台
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-10-27
- **Last Updated**: 2025-10-28

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Vector Analytics Platform

A big data computing platform for vector spatial analytics powered by Apache Spark with visualization interface.

## Features

- **Spark Computing Engine**: Distributed processing of large-scale vector data
- **Vector Operations**: Spatial analysis, similarity search, clustering
- **Geospatial Data Support**: GDB, GeoPackage, Shapefile integration
- **Spatial Analysis**: Location-aware clustering and similarity analysis
- **Visualization**: Interactive web interface with charts and maps
- **Scalability**: Support for various data formats and distributed computing
- **REST API**: Complete API for integration with external systems

## Architecture

```
├── backend/                 # Spark + FastAPI backend
│   ├── src/
│   │   ├── core/           # Core Spark computing logic
│   │   ├── services/       # Business logic services
│   │   ├── api/            # REST API endpoints
│   │   └── utils/          # Utility functions
│   ├── tests/              # Backend tests
│   └── configs/            # Configuration files
├── frontend/               # React + TypeScript frontend
│   ├── src/
│   │   ├── components/     # Reusable UI components
│   │   ├── pages/          # Page components
│   │   ├── services/       # API client services
│   │   └── utils/          # Frontend utilities
│   ├── public/             # Static assets
│   └── tests/              # Frontend tests
├── docker/                 # Docker configuration
├── data/                   # Sample data and storage
└── docs/                   # Documentation
```

## Technology Stack

- **Backend**: Apache Spark (PySpark), FastAPI, Python
- **Frontend**: React, TypeScript, Ant Design, ECharts/D3.js
- **Database**: Support for CSV, JSON, Parquet, Geospatial formats
- **Deployment**: Docker, Docker Compose

## Quick Start

```bash
# Clone and setup
cd vector-analytics-platform

# Start all services
docker-compose up -d

# Access the application
# Frontend: http://localhost:3000
# Backend API: http://localhost:8000
# Spark UI: http://localhost:4040
```

## Key Features

### Vector Operations
- Vector similarity search (Cosine, Euclidean, Manhattan distances)
- Spatial analysis and clustering (K-means, DBSCAN)
- Vector arithmetic and transformations
- Dimensionality reduction (PCA, t-SNE)

### Data Processing
- Support for large-scale vector datasets
- Distributed computing with Spark
- Multiple data format support
- Real-time stream processing

### Visualization
- Interactive scatter plots and 3D visualizations
- Cluster visualization and analysis
- Real-time monitoring dashboard
- Export capabilities

## API Endpoints

- `/api/v1/vector/upload` - Upload vector data
- `/api/v1/vector/similarity` - Vector similarity search
- `/api/v1/vector/cluster` - Vector clustering
- `/api/v1/vector/analyze` - Spatial analysis
- `/api/v1/jobs/submit` - Submit compute jobs
- `/api/v1/jobs/status/{job_id}` - Job status monitoring

## Development

```bash
# Backend development
cd backend
pip install -r requirements.txt
uvicorn src.main:app --reload

# Frontend development
cd frontend
npm install
npm start
```

## License

MIT License